4 citations · 10 across the 4 of their papers we have counts for
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cs.CV2022★ 3 cited
SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks
Ajay Subramanian, Sara Price, Omkar Kumbhar +3
The core of everyday tasks like reading and driving is active object recognition. Attempts to model such tasks are currently stymied by the inability to incorporate time. People sh…
cs.CV2020
Using Human Psychophysics to Evaluate Generalization in Scene Text Recognition Models
Sahar Siddiqui, Elena Sizikova, Gemma Roig +2
Scene text recognition models have advanced greatly in recent years. Inspired by human reading we characterize two important scene text recognition models by measuring their domain…